Excrescent vowels in Lamkang prefix sequences (open access)

Excrescent vowels in Lamkang prefix sequences

Article examines the nature of the super-short vowel-like segments between the C- prefixes of the Lamkang language by combining acoustic analysis with speakers' intuitions about syllable structure. The authors argue that an accurate phonetic description of Lamkang vowels must include these super-short vowels, as well as long and short vowels, which are phonemically distinct.
Date: January 14, 2020
Creator: Burke, Mary; Chelliah, Shobhana Lakshmi & Robinson, Melissa
System: The UNT Digital Library
Ethical Challenges of Using Virtual Environments in the Assessment and Treatment of Psychopathological Disorders (open access)

Ethical Challenges of Using Virtual Environments in the Assessment and Treatment of Psychopathological Disorders

This article discusses ethical issues involved in the clinical use of novel technologies.
Date: January 20, 2021
Creator: Parsons, Thomas D.
System: The UNT Digital Library
The Substrate-Independence Theory: Advancing Constructor Theory to Scaffold Substrate Attributes for the Recursive Interaction between Knowledge and Information (open access)

The Substrate-Independence Theory: Advancing Constructor Theory to Scaffold Substrate Attributes for the Recursive Interaction between Knowledge and Information

Article exploring how information and knowledge are absorbed by utilizing Constructor Theory and the Substrate-Independence Theory.
Date: November 30, 2021
Creator: Turner, John R.; Snowden, Dave & Thurlow, Nigel
System: The UNT Digital Library
Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network (open access)

Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network

Article describes how accurately predicting the condition rating of a bridge deck is crucial for effective maintenance and repair planning. This study aims to assess the effectiveness of these algorithms for deck condition rating prediction at the national level.
Date: January 16, 2024
Creator: Fard, Fariba & Fard, Fereshteh Sadeghi Naieni
System: The UNT Digital Library